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Beck, Hall P.; Davidson, William B. – Journal of The First-Year Experience & Students in Transition, 2015
This investigation sought to determine when colleges should conduct assessments to identify first-year students at risk of dropping out. Thirty-five variables were used to predict the persistence of 2,024 first-year students from four universities in the southeastern United States. The predictors were subdivided into groups according to when they…
Descriptors: College Students, College Freshmen, Higher Education, School Holding Power
Maxwell, Martha – 1998
Simple Bayesian approaches can be applied to answer specific questions in evaluating an individualized reading program. A small reading and study skills program located in the counseling center of a major research university collected and compiled data on student characteristics such as class, number of sessions attended, grade point average, and…
Descriptors: Bayesian Statistics, Data Collection, Decision Making, Higher Education
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Ayalon, Hanna; Grodsky, Eric; Gamoran, Adam; Yogev, Abraham – Sociology of Education, 2008
This article explores how the structure of higher education in the United States and Israel mediates the relationship among race/ethnicity, social origins, and postsecondary outcomes. On the basis of differences in how the two systems of higher education have developed, the authors anticipated that inequality in college attendance will be greater…
Descriptors: Higher Education, College Attendance, Foreign Countries, Comparative Analysis